Senior Data , BI & AI Enablement Engineer
NXP Semiconductors · Posted Oct 13
High-performance mixed-signal and standard semiconductor products for automotive, industrial, and mobile applications
Get a personal compatibility score
Add a resume for personal matches
About the role
The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis, and for building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise. The role works with Databricks, Apache Spark, medallion architecture, and modern data models to support AI, ML, and BI use cases in AWS and Azure cloud environments. This senior position also administers Databricks environments and Unity Catalog and builds CI/CD pipelines in GitHub or Azure DevOps.
What you will do
- Designs, develops, and maintains robust data pipelines using Databricks and Apache Spark, that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.
- Implement and manage advanced data products in our medallion architecture.
- Implement and manage advanced data models, including dimensional, relational, and Data Vault modeling techniques.
- Integrates data from different sources, including databases, data warehouses, APIs, and external systems.
- Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed.
- Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
- Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency.
- Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
- Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
- Manage Databricks Unity Catalog including administrative activities (policies, security, access control, cost control).
- Optimize and administer Databricks environments to ensure high performance and reliability.
- Cluster configuration and policy management in Databricks.
- Build and maintain CI/CD pipelines (DevOps) in GitHub or Azure DevOps.
- Collaborate with cross-functional teams to deliver comprehensive data solutions.
- Ensure data quality, security, and governance across all data processes.
- Communicate effectively with stakeholders to understand requirements and deliver actionable insights.
- Operate within agile teams, contributing to continuous improvement in data engineering practices and processes.
- Utilize cloud platforms such as AWS and Azure to build scalable data solutions.
- Collaborates with data scientists and data analysts to optimize models and algorithms for data quality, security, and governance.
Skills used in this role
What the employer is looking for
- A bachelor's degree in computer science, data science, software engineering, information systems, information technology or related quantitative field; master's degree preferred.
- Minimum of 6+ yrs of experience in data engineering, with at least 2+ yrs of hands-on experience with Databricks.
- At least 6+ yrs of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
- Databricks Certifications (Associate, Professional, Administration).
- Proficiency in modern data modeling techniques and data administration.
- Strong knowledge of SQL, Python, PySpark.
- Experience with cloud platforms such as AWS and Azure.
- Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.
- Strong communication skills and a proactive, “getting things done” mindset.
- Experience working in agile teams and familiarity with agile methodologies.
- Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI.
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks).
- Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata.
- Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products.
- Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
- Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.
- Ability to translate among the languages used by executive, business, IT, and quant stakeholders.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NXP Semiconductors
NXP Semiconductors enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better, and safer. As a global semiconductor leader, the company drives innovation in automotive processing, secure connected edge systems, industrial IoT, and mobile communications infrastructure.
- Industry
- Semiconductors
- Company size
- 32169 employees
- Founded
- 2006
- Location
- Eindhoven, Netherlands
- Funding stage
- Public Company
Funding
Public Company
Leadership
Rafael Sotomayor
President and Chief Executive Officer
Bill Betz
Executive Vice President and Chief Financial Officer
Lars Reger
Executive Vice President and Chief Technology Officer
Chris Jensen
Executive Vice President and Chief People Officer
Jennifer Wuamett
Executive Vice President, General Counsel, and Chief Sustainability Officer
Recent coverage
NXP Newsroom
VSMC Celebrates the Grand Opening of Its First 300mm Fab in Singapore2026-09-27
NXP Newsroom
NXP Semiconductors Announces Quarterly Dividend2026-08-28
NXP Newsroom
NXP Semiconductors Breaks Ground on Assembly and Test Site Expansion in Malaysia2026-08-12
NXP Newsroom
NXP Semiconductors Reports Second Quarter 2026 Results2026-07-28